The overall goal of the Clinical Core of the University of Kentucky Alzheimer's Disease Center (UK ADC) is to provide thoroughly evaluated, longitudinally followed, normal control subjects and Alzheimer's disease (AD) and other non-AD dementing disorders patients for innovative research studies at UK, other ADCs and institutions studying AD and aging. This Core will maintain a normal control population of 500 initially normal aged subjects who will be followed longitudinally to autopsy (all have prearranged autopsies). The major emphases will be on studies of normal aging and transition to preclinical AD, mild cognitive impairment (MCI), and early AD. Control participants will be evaluated annually with medical, neurologic, and neuropsychological tests to define subtle changes in cognitive and neurologic functions. A developmental study will be carried out to attempt to define the theoretical entity, preclinical AD, in this population. This Core will maintain a Dementia Research Clinic of 200 subjects with dementing disorders who will be followed longitudinally to autopsy (all have prearranged autopsies). Emphasis will be placed on recruiting MCI, early AD, and mixed dementia (AD/vascular dementia, AD/DLB, Parkinson's Disease Dementia) patients. Dementia Research Clinic patients undergo the same thorough annual evaluation as our control subjects. The detailed evaluation of control and dementia subjects provides a database for use by UK investigators associated with our Center and investigators at other ADCs and institutions. Longitudinally followed control subjects and MCI and early AD patients will provide important data about the course and progression of AD. The Clinical Core will expand and maintain a satellite clinic for African Americans, the Kentucky Clinic North Minority Satellite, in Lexington to provide longitudinal follow and broadening research opportunities for an understudied population. This Core will also obtain serum, plasma, buffy coats and CSF from normal control subjects, MCI and early AD patients for use by investigators. The Core will participate in the NIA AD neuroimaging initiative, NACC funded studies, ADCS trials, and industry sponsored drug trials. The uniform data set and the minimum data set are collected by this Core and submitted to NACC in a timely fashion by the Biostatistics and Data Management Core. The close relationship between the Clinical Core and the Neuropathology Core allows for unique clinical-pathological correlation studies on longitudinally followed subjects to better understand normal aging and transition to MCI and AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG028383-04
Application #
7898786
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
4
Fiscal Year
2009
Total Cost
$546,071
Indirect Cost
Name
University of Kentucky
Department
Type
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Barber, Justin M; Bardach, Shoshana H; Jicha, Gregory A (2018) Alzheimer Disease Clinical Trial Recruitment: Does Participation in a Brief Cognitive Screen at a Community Health Fair Promote Research Engagement? Alzheimer Dis Assoc Disord 32:333-338
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Pruzin, J J; Nelson, P T; Abner, E L et al. (2018) Review: Relationship of type 2 diabetes to human brain pathology. Neuropathol Appl Neurobiol 44:347-362
Besser, Lilah; Kukull, Walter; Knopman, David S et al. (2018) Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 32:351-358
Nelson, Peter T; Wang, Wang-Xia; Janse, Sarah A et al. (2018) MicroRNA expression patterns in human anterior cingulate and motor cortex: A study of dementia with Lewy bodies cases and controls. Brain Res 1678:374-383

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